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Improved Interval-Valued Intuitionistic Fuzzy Entropy and Its Applications in Multi-attribute Decision Making Problems

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 367)

Abstract

According to the defect of not fully reflecting the uncertainty, the improved definition and formula, which consider both aspects of uncertainty (fuzziness and lack of knowledge), of entropy for interval-valued intuitionistic fuzzy sets are proposed. The proposed entropy is used to solve multi-attribute decision making problems. Two numerical example verifies the appropriateness and effectiveness of the improved entropy for solving multi-attribute decision making problems.

Keywords

Interval-valued intuitionistic fuzzy sets Interval-valued intuitionistic fuzzy entropy Uncertainty Hamming distance Multi-attribute decision making 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.School of SciencesSouthwest Petroleum UniversityChengduPeople’s Republic of China

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